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通过人工智能增强临床决策支持系统推进产科护理:一项系统综述。

Advancing Obstetric Care Through Artificial Intelligence-Enhanced Clinical Decision Support Systems: A Systematic Review.

作者信息

Abdalrahman Mohammad Ali Mohammad Omar, Abdelgadir Elhabeeb Selma Mohammed, Abdalla Elsheikh Nihal Eltayeb, Abdalla Mohammed Fatima Siddig, Mahmoud Ali Sulafa Hassan, Ibrahim Abdelhalim Aya Abuelgasim, Altom Dalia Saad

机构信息

Obstetrics and Gynecology, Maternity and Children Hospital, Najran, SAU.

Obstetrics and Gynecology, Najran Armed Forces Hospital, Ministry of Defense Health Services, Najran, SAU.

出版信息

Cureus. 2025 Mar 13;17(3):e80514. doi: 10.7759/cureus.80514. eCollection 2025 Mar.

DOI:10.7759/cureus.80514
PMID:40225537
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11993431/
Abstract

Although artificial intelligence (AI) has grown over the past 10 years and clinical decision support systems (CDSS) have begun to be used in obstetric care, little is known about how AI functions in obstetric care-specific CDSS. We conducted a systematic review based on research studies that looked at AI-augmented CDSS in obstetric care to identify and synthesize CDSS functionality, AI techniques, clinical implementation, and AI-augmented CDSS in obstetric care. We searched four different databases (Scopus, PubMed, Web of Science, and IEEE Xplore) for relevant studies, and we found 354 studies. The studies were evaluated for eligibility based on predefined inclusion and exclusion criteria. The systematic review incorporated 30 studies after conducting an eligibility assessment of all studies. We used the Newcastle Ottawa Scale for risk bias assessment of all included studies. Medical prediction, therapeutic recommendations, diagnostic support, and knowledge dissemination constitute the key features of CDSS service offerings. The current research on CDSS included findings about early fetal anomaly detection, economical surveillance, prenatal ultrasonography assistance, and ontology development methodologies according to our study findings.

摘要

尽管人工智能(AI)在过去10年中得到了发展,临床决策支持系统(CDSS)也已开始应用于产科护理,但对于AI在产科护理特定CDSS中的作用仍知之甚少。我们基于对产科护理中AI增强型CDSS的研究进行了一项系统综述,以识别和综合CDSS功能、AI技术、临床应用以及产科护理中的AI增强型CDSS。我们在四个不同的数据库(Scopus、PubMed、科学网和IEEE Xplore)中搜索相关研究,共找到354项研究。根据预先定义的纳入和排除标准对这些研究进行资格评估。在对所有研究进行资格评估后,该系统综述纳入了30项研究。我们使用纽卡斯尔渥太华量表对所有纳入研究进行风险偏倚评估。医疗预测、治疗建议、诊断支持和知识传播构成了CDSS服务的关键特征。根据我们的研究结果,目前关于CDSS的研究包括早期胎儿异常检测、经济监测、产前超声检查辅助和本体开发方法等方面的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a609/11993431/bd651293bc09/cureus-0017-00000080514-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a609/11993431/2a771701b309/cureus-0017-00000080514-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a609/11993431/cb8bac7836ec/cureus-0017-00000080514-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a609/11993431/bd651293bc09/cureus-0017-00000080514-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a609/11993431/2a771701b309/cureus-0017-00000080514-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a609/11993431/cb8bac7836ec/cureus-0017-00000080514-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a609/11993431/bd651293bc09/cureus-0017-00000080514-i03.jpg

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